The paper presents an analysis of the experimental parameters involved in application of the dual-probe heat pulse technique, followed by a critical review of methods for processing thermal response data (e.g., maximum detection and nonlinear least square regression) and the consequent obtainable uncertainty. Glycerol was selected as testing liquid, and its thermal diffusivitywas evaluated over the temperature range from −20 °C to 60 °C. In addition, Monte Carlo simulation was used to assess the uncertainty propagation for maximum detection. It was concluded that maximum detection approach to process thermal response data gives the closest results to the reference data inasmuch nonlinear regression results are affected by major uncertainties due to partial correlation between the evaluated parameters. Besides, the interpolation of temperature data with a polynomial to find the maximum leads to a systematic difference between measured and reference data, as put into evidence by the Monte Carlo simulations; through its correction, this systematic error can be reduced to a negligible value, about 0.8 %.

Bovesecchi, G., Coppa, P., Corasaniti, S., Potenza, M. (2018). Critical Analysis of Dual-Probe Heat-Pulse Technique Applied to Measuring Thermal Diffusivity. INTERNATIONAL JOURNAL OF THERMOPHYSICS, 39(7) [10.1007/s10765-018-2402-3].

Critical Analysis of Dual-Probe Heat-Pulse Technique Applied to Measuring Thermal Diffusivity

Bovesecchi, G.;Coppa, P.;Corasaniti, S.;Potenza, M.
2018-01-01

Abstract

The paper presents an analysis of the experimental parameters involved in application of the dual-probe heat pulse technique, followed by a critical review of methods for processing thermal response data (e.g., maximum detection and nonlinear least square regression) and the consequent obtainable uncertainty. Glycerol was selected as testing liquid, and its thermal diffusivitywas evaluated over the temperature range from −20 °C to 60 °C. In addition, Monte Carlo simulation was used to assess the uncertainty propagation for maximum detection. It was concluded that maximum detection approach to process thermal response data gives the closest results to the reference data inasmuch nonlinear regression results are affected by major uncertainties due to partial correlation between the evaluated parameters. Besides, the interpolation of temperature data with a polynomial to find the maximum leads to a systematic difference between measured and reference data, as put into evidence by the Monte Carlo simulations; through its correction, this systematic error can be reduced to a negligible value, about 0.8 %.
2018
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-IND/10 - FISICA TECNICA INDUSTRIALE
English
Con Impact Factor ISI
Dual-probe technique · Monte Carlo simulation · Nonlinear least square fitting · Thermal conductivity · Thermal diffusivity
Bovesecchi, G., Coppa, P., Corasaniti, S., Potenza, M. (2018). Critical Analysis of Dual-Probe Heat-Pulse Technique Applied to Measuring Thermal Diffusivity. INTERNATIONAL JOURNAL OF THERMOPHYSICS, 39(7) [10.1007/s10765-018-2402-3].
Bovesecchi, G; Coppa, P; Corasaniti, S; Potenza, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/206719
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